A method and device for low energy loss use of a mobile power supply

Abstract

The present application belongs to the field of power supply technology, and discloses a low-energy-loss method and device for using a mobile power supply, the method comprising: real-time monitoring of the current values of multiple temperature-controlled areas of an intelligent temperature-controlled sanitation service, and calculation of the average current value; determining a corresponding adjustment factor according to the average current value of each temperature-controlled area, so as to determine the dynamic current threshold of each temperature-controlled area; when the actual current value of the temperature-controlled area is lower than the corresponding dynamic current threshold, reducing the output voltage of the mobile power supply to the corresponding temperature-controlled area according to a proportional control algorithm based on the current deviation between the actual current value and the dynamic current threshold; when the actual current value of the temperature-controlled area is higher than or equal to the corresponding dynamic current threshold, maintaining or slightly increasing the output voltage of the mobile power supply to the corresponding temperature-controlled area; the method can improve the power supply efficiency of the mobile power supply to the intelligent temperature-controlled sanitation service with multiple independent temperature-controlled areas, and reduce energy loss.

Description

Technical Field

[0001] The present application relates to the field of power supply technology, and in particular to a method and device for using a mobile power supply with low energy loss. Background Art

[0002] During the cold winter months, sanitation workers working outdoors often face the challenging challenges of low temperatures. To ensure the comfort and health of sanitation workers working in these conditions, intelligent temperature-controlled sanitation clothing has emerged. These garments typically integrate multiple independently controllable temperature zones, enabling precise temperature adjustments for different body parts based on the wearer's needs, providing essential, personalized warmth support for sanitation workers. Intelligent temperature-controlled sanitation clothing can sensitively sense and respond to the thermal demands of each temperature-controlled zone, dynamically adjusting the heating current in each zone to achieve optimal temperature control.

[0003] However, current smart temperature-controlled sanitation suits on the market generally still rely on traditional mobile power solutions for power supply. These power banks typically operate in a constant power mode. However, for multi-zone smart temperature-controlled sanitation suits, the actual heat demand in each zone is not constant but rather dynamically changes due to a combination of complex factors, including ambient temperature fluctuations, changes in work intensity, and the body's physical condition. If the power bank continuously outputs power in a constant power mode, its output characteristics will not be able to effectively match the dynamically changing heat demand of the smart temperature-controlled sanitation suit's various zones. This constant power output mode is particularly problematic in scenarios where sanitation workers must work outdoors for extended periods of time and electricity resources are relatively limited. This inefficiency in energy utilization is particularly pronounced, directly impacting the power bank's battery life. Ultimately, this limits the sustained warmth retention of the smart temperature-controlled sanitation suit, severely restricting its practical application in harsh winter outdoor work scenarios. Therefore, effectively improving the power bank's efficiency in supplying power to smart temperature-controlled sanitation suits with multiple independent temperature-controlled zones has become a critical technical challenge that needs to be addressed.

[0004] In view of the above problems, the existing technology is in urgent need of improvement. Summary of the Invention

[0005] The purpose of this application is to provide a low-energy-loss method and device for using a mobile power supply, thereby improving the power supply efficiency of the mobile power supply to an intelligent temperature-controlled sanitation service with multiple independent temperature control areas and reducing energy loss.

[0006] In a first aspect, the present application provides a low-energy-loss method for using a mobile power supply, which is used to control the mobile power supply to power an intelligent temperature-controlled sanitation service having multiple independent temperature-controlled zones. The method comprises the following steps:

[0007] A1. Real-time monitoring of the current values in multiple temperature-controlled areas of the intelligent temperature-controlled sanitation service and calculation of the average current value in each temperature-controlled area;

[0008] A2. Determine an adjustment factor based on the average current value of each temperature control zone to adjust the preset basic current threshold to obtain a dynamic current threshold for each temperature control zone; the adjustment factor increases as the average current value decreases;

[0009] A3. For each temperature control zone, determine whether the actual current value of the temperature control zone is lower than the corresponding dynamic current threshold;

[0010] A4. If the actual current value in a temperature-controlled zone is lower than the corresponding dynamic current threshold, the power bank's output voltage for the corresponding temperature-controlled zone is reduced using a proportional control algorithm based on the current deviation between the actual current value and the dynamic current threshold. The magnitude of the reduction is proportional to the current deviation.

[0011] A5. If the actual current value in the temperature control zone is higher than or equal to the corresponding dynamic current threshold, maintain or slightly increase the output voltage of the power bank for the corresponding temperature control zone.

[0012] This method matches the output power of the mobile power supply with the dynamically changing thermal demands of each area of the intelligent temperature-controlled sanitation service by real-time monitoring of the current in each temperature-controlled area and dynamically adjusting the voltage in each temperature-controlled area. This method can improve the power supply efficiency of the mobile power supply to the intelligent temperature-controlled sanitation service with multiple independent temperature-controlled areas and reduce energy loss.

[0013] Preferably, step A1 includes:

[0014] A101. Compare the historical current change rate of each temperature control zone with the preset change rate threshold, and compare the energy consumption of each temperature control zone with the preset energy consumption threshold;

[0015] A102. Adjust the current sampling frequency of each temperature control zone based on the comparison results. Specifically, if the historical current change rate of the temperature control zone exceeds the change rate threshold or the energy consumption is lower than the energy consumption threshold, increase the current sampling frequency of the corresponding temperature control zone. If the historical current change rate of the temperature control zone is lower than the change rate threshold and the energy consumption is higher than the energy consumption threshold, decrease the current sampling frequency of the corresponding temperature control zone. Otherwise, maintain the current sampling frequency of the corresponding temperature control zone.

[0016] A103. Use the adjusted current sampling frequency to collect the current value of each temperature control area in real time, and calculate the average current value of each temperature control area.

[0017] Therefore, the resource utilization efficiency is optimized while ensuring the effectiveness of current monitoring.

[0018] Preferably, the step A101 further includes the following steps:

[0019] A100a real-time monitoring of the movement of sanitation workers wearing the smart temperature control clothing, obtain exercise intensity data, and calculate the rate of change of exercise intensity based on the exercise intensity data;

[0020] A100b. Compare the exercise intensity change rate with the preset exercise intensity change rate threshold. If the exercise intensity change rate exceeds the exercise intensity change rate threshold, dynamically adjust the change rate threshold and the energy consumption threshold based on the amount by which the exercise intensity change rate exceeds the exercise intensity change rate threshold, so as to update the preset change rate threshold and the preset energy consumption threshold.

[0021] Therefore, the adjustment of the current sampling frequency can adapt to the rapid changes in operating intensity more quickly and ensure the timeliness of power distribution.

[0022] Preferably, step A2 includes:

[0023] A201. Get the preset basic current threshold, average current reference value, maximum adjustment factor, and minimum adjustment factor;

[0024] A202. Based on the average current value of each temperature control zone, use a piecewise function to calculate the corresponding adjustment factor for each temperature control zone. When the average current value is less than the average current reference value, the adjustment factor increases as the average current value decreases, and the upper limit of the adjustment factor is the maximum adjustment factor. When the average current value is greater than or equal to the average current reference value, the adjustment factor decreases as the average current value increases, and the lower limit of the adjustment factor is the minimum adjustment factor.

[0025] A203. Multiply the adjustment factor corresponding to each temperature control zone by the preset basic current threshold to obtain the dynamic current threshold of each temperature control zone.

[0026] Preferably, after step A201 and before step A202, the method further includes the following steps:

[0027] A204. Determine the average current reference value switching threshold range, the average current reference value switching threshold range includes an upper threshold and a lower threshold;

[0028] A205. If the average current value of a temperature control area is greater than the upper threshold of the average current reference value switching threshold range, the average current reference value of the corresponding temperature control area is increased by a first preset value;

[0029] A206. If the average current value of a temperature control zone is less than the lower limit threshold of the average current reference value switching threshold range, the average current reference value of the corresponding temperature control zone is adjusted down by a second preset value.

[0030] Preferably, step A4 includes:

[0031] A401 real-time monitoring of the movement of sanitation workers wearing the smart temperature control clothing, obtain exercise intensity data, and calculate the rate of change of exercise intensity based on the exercise intensity data;

[0032] A402. Determine whether the rate of change of exercise intensity exceeds a preset rate of change threshold of exercise intensity;

[0033] A403. If the rate of change of exercise intensity exceeds the preset rate of change threshold of exercise intensity, the temperature overshoot suppression factor is calculated based on the amount by which the rate of change of exercise intensity exceeds the rate of change threshold of exercise intensity. The temperature overshoot suppression factor increases as the amount of excess increases.

[0034] A404. Based on the current deviation between the actual current value and the dynamic current threshold, as well as the temperature overshoot suppression factor, the output voltage of the mobile power supply for the corresponding temperature control area is reduced according to the proportional control algorithm. The magnitude of the reduction is proportional to the current deviation and inversely proportional to the temperature overshoot suppression factor.

[0035] Preferably, step A403 includes:

[0036] B1. Obtain heating area and power data for each temperature control zone;

[0037] B2. Multiply the heating area data and power data of each temperature control zone to obtain the temperature change rate factor of each temperature control zone;

[0038] B3. If the exercise intensity change rate exceeds the preset exercise intensity change rate threshold, the excess of the exercise intensity change rate over the exercise intensity change rate threshold is multiplied by the temperature change rate factor of each temperature control area to obtain the temperature overshoot suppression factor of each temperature control area.

[0039] Preferably, after step B2 and before step B3, the method further comprises the following steps:

[0040] B4. Obtain material thermal conductivity efficiency data for each temperature control area;

[0041] B5. Modify the temperature change rate factor of each temperature control area based on the material thermal conductivity efficiency data of each temperature control area.

[0042] Preferably, step A5 includes:

[0043] A501. Get the preset voltage adjustment step size and maximum boost duration;

[0044] A502. If the actual current value of the heating zone is continuously greater than or equal to the corresponding dynamic current threshold value and the duration exceeds the maximum boost duration, the power bank's output voltage to the corresponding heating zone is increased in small increments, in accordance with the preset voltage adjustment step size, until the preset maximum voltage boost is reached.

[0045] A503. If the actual current value of the heating area is continuously higher than or equal to the corresponding dynamic current threshold and the duration does not exceed the maximum boost duration, the output voltage of the mobile power supply to the corresponding heating area is maintained.

[0046] In a second aspect, the present application provides a low-energy-loss device for using a mobile power source, which is used to control the mobile power source to power an intelligent temperature-controlled sanitation service having multiple independent temperature-controlled zones. The device includes:

[0047] The current monitoring module is used to monitor the current values of multiple temperature control areas of the intelligent temperature control sanitation service in real time and calculate the average current value of each temperature control area;

[0048] A threshold calculation module is used to determine a corresponding adjustment factor based on the average current value of each temperature control zone, so as to adjust the preset basic current threshold to obtain a dynamic current threshold for each temperature control zone; the adjustment factor increases as the average current value decreases;

[0049] A current judgment module is used to judge, for each temperature control zone, whether the actual current value of the temperature control zone is lower than the corresponding dynamic current threshold;

[0050] The voltage adjustment module is used to reduce the output voltage of the mobile power supply to the corresponding temperature control area according to the current deviation between the actual current value and the dynamic current threshold when the actual current value of the temperature control area is lower than the corresponding dynamic current threshold, according to the proportional control algorithm, and the reduction amplitude is proportional to the current deviation; and when the actual current value of the temperature control area is higher than or equal to the corresponding dynamic current threshold, maintain or slightly increase the output voltage of the mobile power supply to the corresponding temperature control area.

[0051] Beneficial effect: The present application provides a low-energy-loss method and device for using a mobile power supply. By real-time monitoring of the current in each temperature-controlled area and dynamically adjusting the voltage in each temperature-controlled area, the output power of the mobile power supply can be matched with the dynamically changing thermal demands of each area of the intelligent temperature-controlled sanitation service. This can improve the power supply efficiency of the mobile power supply to the intelligent temperature-controlled sanitation service with multiple independent temperature-controlled areas and reduce energy loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a flow chart of a method for using a mobile power supply with low energy loss provided in an embodiment of the present application.

[0053] Figure 2A schematic diagram of the structure of a low-energy-loss device for using a mobile power supply provided in an embodiment of the present application.

[0054] Explanation of reference numerals: 1. Current monitoring module; 2. Threshold calculation module; 3. Current judgment module; 4. Voltage adjustment module. DETAILED DESCRIPTION

[0055] The technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all of the embodiments. The components of the present application generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application for which protection is claimed, but merely represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work are within the scope of protection of this application.

[0056] It should be noted that similar reference numerals and letters represent similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined or explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and should not be understood as indicating or implying relative importance.

[0057] refer to Figure 1 This application proposes a low-energy-loss method for using a mobile power source, which is used to control the mobile power source to power an intelligent temperature-controlled sanitation service with multiple independent temperature-controlled areas. The method comprises the following steps:

[0058] A1. Real-time monitoring of the current values in multiple temperature-controlled areas of the intelligent temperature-controlled sanitation service and calculation of the average current value in each temperature-controlled area;

[0059] A2. Determine an adjustment factor based on the average current value of each temperature control zone to adjust the preset basic current threshold to obtain a dynamic current threshold for each temperature control zone; the adjustment factor increases as the average current value decreases;

[0060] A3. For each temperature control zone, determine whether the actual current value of the temperature control zone is lower than the corresponding dynamic current threshold;

[0061] A4. If the actual current value in a temperature-controlled zone is lower than the corresponding dynamic current threshold, the power bank's output voltage for the corresponding temperature-controlled zone is reduced using a proportional control algorithm based on the current deviation between the actual current value and the dynamic current threshold. The magnitude of the reduction is proportional to the current deviation.

[0062] A5. If the actual current value in the temperature control zone is higher than or equal to the corresponding dynamic current threshold, maintain or slightly increase the output voltage of the power bank for the corresponding temperature control zone.

[0063] In step A1, the current value of each temperature-controlled area can be periodically detected at a preset frequency. The average current value can be calculated by averaging the current values collected within a preset time period (which can be set according to actual needs) to reflect the overall current level of the temperature-controlled area.

[0064] In step A2, the adjustment factor can be determined using a variety of functional relationships, such as an inverse proportional function or a piecewise function, to ensure that the adjustment factor increases as the average current value decreases. The dynamic current threshold can be obtained by multiplying the adjustment factor by a preset basic current threshold, thereby achieving dynamic adjustment of the current threshold.

[0065] In step A3, the actual current value is compared with the dynamic current threshold to provide a basis for subsequent voltage adjustment.

[0066] In step A4, if the actual current value in the temperature-controlled area is lower than the corresponding dynamic current threshold, this indicates a decrease in the thermal demand for that area. Accordingly, the power bank's output voltage to the corresponding temperature-controlled area needs to be reduced to match this demand. The proportional control algorithm calculates the voltage adjustment based on the current deviation. The greater the current deviation, the greater the voltage reduction, achieving refined voltage control.

[0067] In step A5, if the actual current value in the temperature-controlled area is greater than or equal to the corresponding dynamic current threshold, it indicates a high heat demand. Maintaining or increasing the output voltage ensures effective heating. Maintaining or slightly increasing the voltage can prevent temperature drops caused by insufficient power and ensure wearer comfort. This slight voltage increase can occur when the actual current value remains above the dynamic current threshold. The increase can be pre-set, for example, by a fixed voltage value or by a specific percentage.

[0068] Specifically, the low-energy-loss method for using a mobile power bank involves first acquiring current data from each temperature-controlled zone of the intelligent temperature-controlled sanitation service in real time, in step A1, to understand the power consumption of each zone. Then, in step A2, the current threshold is dynamically adjusted based on the average current value of each zone. As the average current value decreases, the dynamic current threshold is adjusted accordingly, allowing the current threshold to adapt to changes in temperature control requirements. Step A3 compares the actual current value with the dynamic current threshold. In step A4, when the actual current value is lower than the dynamic current threshold, indicating that the temperature-controlled zone is experiencing low thermal demand, a proportional control algorithm is used to reduce the output voltage, with the magnitude of the voltage reduction proportional to the current deviation. This approach ensures on-demand power supply, avoids energy waste, and achieves energy savings. Step A5 ensures that when the current demand in a temperature-controlled zone is high, the output voltage is maintained or slightly increased to ensure effective temperature control. Through these steps, the method dynamically adjusts the output voltage of the mobile power bank based on the actual current demand of each temperature-controlled zone, effectively reducing energy loss and improving the battery life of the mobile power bank while ensuring effective temperature control.

[0069] In some preferred embodiments, step A1 includes:

[0070] A101. Compare the historical current change rate of each temperature control zone with the preset change rate threshold, and compare the energy consumption of each temperature control zone with the preset energy consumption threshold;

[0071] A102. Adjust the current sampling frequency of each temperature control zone based on the comparison results. Specifically, if the historical current change rate of the temperature control zone exceeds the change rate threshold or the energy consumption is lower than the energy consumption threshold, increase the current sampling frequency of the corresponding temperature control zone. If the historical current change rate of the temperature control zone is lower than the change rate threshold and the energy consumption is higher than the energy consumption threshold, decrease the current sampling frequency of the corresponding temperature control zone. Otherwise, maintain the current sampling frequency of the corresponding temperature control zone.

[0072] A103. Use the adjusted current sampling frequency to collect the current value of each temperature control area in real time, and calculate the average current value of each temperature control area.

[0073] In step A101, the historical current rate of change and energy consumption of each temperature-controlled zone are compared with their respective thresholds. The current rate of change can be calculated by the magnitude of the current change per unit time, and the energy consumption can be calculated by multiplying the product of the current and voltage values by time (the energy consumption can be calculated by integrating the product of the current and voltage values within a preset time window over time). The rate of change thresholds and energy consumption thresholds are pre-set and can be adjusted based on actual application scenarios and needs.

[0074] In step A102, the current sampling frequency is adjusted based on the comparison results. Specifically, when the current in the temperature-controlled area fluctuates dramatically or when the energy consumption in the temperature-controlled area is low, the current sampling frequency is increased. Dramatic current fluctuations can be understood as the historical current rate of change exceeding a rate threshold, indicating that the temperature control requirements in the area are rapidly changing and requiring higher sampling frequencies to accurately capture current fluctuations. When the energy consumption in the heating area is below the energy consumption threshold (implying sufficient energy resources for the sampling system), increasing the sampling frequency allows for more accurate monitoring of current fluctuations in low-power states, providing data support for subsequent power optimization. When the current in the temperature-controlled area fluctuates smoothly and energy consumption is high, the current sampling frequency is reduced. Slow current fluctuations can be understood as the historical current rate of change being below the rate threshold, and high energy consumption can be understood as energy consumption exceeding the energy consumption threshold. This indicates that the temperature control requirements in the area are stable and the workload is high, and the sampling frequency can be appropriately reduced to save energy. In other cases, the current sampling frequency remains unchanged.

[0075] In step A103 , the current value is collected using the adjusted current sampling frequency, and multiple current values are collected within a period of time to calculate an average current value for subsequent dynamic current threshold calculation and voltage adjustment.

[0076] Specifically, the above solution aims to solve the problem that the use of a fixed current sampling frequency may lead to inaccurate current monitoring or waste of resources. By introducing a dynamic adjustment mechanism for the current sampling frequency, the current sampling frequency can be adaptively adjusted according to the actual current changes and energy consumption levels in the temperature control area. When the current in the temperature control area changes drastically or the energy consumption is low, the current sampling frequency is increased to ensure the sensitivity and accuracy of current monitoring and quickly respond to changes in temperature control requirements; when the current in the temperature control area changes slowly and the energy consumption is high, the current sampling frequency is reduced to reduce unnecessary sampling, save electricity, optimize the efficiency of electricity utilization, and more finely realize the low energy loss use of mobile power supplies. In this way, the optimization of energy utilization efficiency is achieved while ensuring the effectiveness of current monitoring.

[0077] Furthermore, the following steps may be included before step A101:

[0078] A100a. Real-time monitoring of the exercise status of sanitation workers wearing smart temperature-controlled sanitation uniforms, obtaining exercise intensity data, and calculating the rate of change of exercise intensity based on the exercise intensity data.

[0079] A100b compares the rate of change of exercise intensity with the preset rate of change threshold of exercise intensity. If the rate of change of exercise intensity exceeds the rate of change threshold of exercise intensity, the rate of change threshold and energy consumption threshold are dynamically adjusted based on the amount by which the rate of change of exercise intensity exceeds the rate of change threshold of exercise intensity, to update the preset rate of change threshold and the preset energy consumption threshold;

[0080] In step A100a, real-time monitoring of the exercise state can be achieved by a motion sensor worn by the sanitation worker. The motion sensor may include, but is not limited to, an accelerometer, a gyroscope, or a heart rate sensor. The exercise intensity data may be acceleration, angular velocity, or heart rate. The rate of change of exercise intensity can be calculated as the magnitude of the change in exercise intensity data per unit time. For example, a linear fit can be performed using multiple recently collected exercise intensity data points, and the slope of the fitted line can be calculated to obtain the rate of change of exercise intensity.

[0081] Among them, in step A100b, the preset exercise intensity change rate threshold can be set according to experience or experimental data. The comparison of the exercise intensity change rate and the exercise intensity change rate threshold is used to determine whether the exercise intensity of the sanitation worker has changed drastically. When the exercise intensity change rate exceeds the exercise intensity change rate threshold, it indicates that the exercise intensity of the sanitation worker has changed drastically. The dynamic adjustment of the change rate threshold and the energy consumption threshold can adopt a linear adjustment or a nonlinear adjustment method. For example, the greater the excess, the greater the amplitude of the adjustment of the change rate threshold and the energy consumption threshold. The update of the change rate threshold and the energy consumption threshold enables the adjustment of the current sampling frequency to adapt to the changes in the exercise intensity of the sanitation worker more quickly.

[0082] Specifically, before a sanitation worker begins high-intensity work, a motion sensor monitors the worker's motion status in real time, obtains motion intensity data, and calculates the rate of change of motion intensity. The system compares the rate of change of motion intensity with a preset threshold value for the rate of change of motion intensity. If the rate of change of motion intensity exceeds the threshold value, it indicates that the sanitation worker is about to or is currently performing high-intensity work, and body heat is rapidly increasing. At this point, the system dynamically increases the rate of change threshold and the energy consumption threshold based on the amount by which the rate of change of motion intensity exceeds the threshold value for the rate of change of motion intensity. The increase in the rate of change threshold and the energy consumption threshold enables step A101 to more sensitively respond to changes in the sanitation worker's motion intensity when subsequently adjusting the current sampling frequency, thereby promptly increasing the current sampling frequency. The timely increase in the current sampling frequency enables the calculation of the average current value to more quickly reflect the actual changes in the current in the temperature-controlled area, thereby enabling the mobile power supply to more promptly adjust the output voltage to adapt to the changes in heat demand caused by the rapid changes in the sanitation worker's motion intensity, avoiding power allocation lags and optimizing the warmth retention of the smart temperature-controlled sanitation suit.

[0083] In some possible implementations, step A2 includes:

[0084] A201. Get the preset basic current threshold, average current reference value, maximum adjustment factor, and minimum adjustment factor;

[0085] A202. Based on the average current value of each temperature control zone, use a piecewise function to calculate the corresponding adjustment factor for each temperature control zone. When the average current value is less than the average current reference value, the adjustment factor increases as the average current value decreases, and the upper limit of the adjustment factor is the maximum adjustment factor. When the average current value is greater than or equal to the average current reference value, the adjustment factor decreases as the average current value increases, and the lower limit of the adjustment factor is the minimum adjustment factor.

[0086] A203. Multiply the adjustment factor corresponding to each temperature control zone by the preset basic current threshold to obtain the dynamic current threshold of each temperature control zone.

[0087] In step A201, a preset basic current threshold, an average current reference value, a maximum adjustment factor value, and a minimum adjustment factor value are obtained. These values may be fixed values pre-stored in the device or determined based on experimental data or empirical values.

[0088] Wherein, in step A202, a piecewise function is used to calculate the adjustment factor. Specifically, when the average current value is lower than the average current reference value, the adjustment factor is set to a function that increases as the average current value decreases, and is limited to below the maximum value of the adjustment factor. This setting is intended to more significantly reduce the dynamic current threshold by increasing the adjustment factor when the current demand is low, thereby increasing the sensitivity of the low power consumption area and avoiding energy waste. Conversely, when the average current value is higher than or equal to the average current reference value, the adjustment factor is set to a function that decreases as the average current value increases, and is limited to above the minimum value of the adjustment factor, which can ensure the heating effect of the high power consumption area. By setting the upper and lower limits of the adjustment factor, it is possible to avoid the adjustment factor being too large or too small, and ensure the rationality of the dynamic current threshold.

[0089] In step A203, the dynamic current threshold is calculated by multiplying the adjustment factor by the basic current threshold. Thus, the dynamic current threshold can be finely adjusted according to different average current values.

[0090] Specifically, through preset parameters and piecewise functions, the dynamic current threshold can be adjusted according to different levels of the average current value. When the temperature control area is in a state of low current demand, the adjustment factor increases, the dynamic current threshold is significantly reduced, and the output voltage is reduced more significantly, achieving energy saving. When the current demand in the temperature control area is high, the adjustment factor is reduced, and the dynamic current threshold will not be too low, maintaining the basic power supply requirements. This piecewise function design makes the changes in the adjustment factor and dynamic current threshold more refined and reasonable. The mobile power supply can more efficiently power the smart temperature-controlled sanitation service and achieve better energy-saving effects.

[0091] Furthermore, after step A201 and before step A202, the following steps may be further included:

[0092] A204. Determine the average current reference value switching threshold range, the average current reference value switching threshold range includes an upper threshold and a lower threshold;

[0093] A205. If the average current value of a temperature control area is greater than the upper threshold of the average current reference value switching threshold range, the average current reference value of the corresponding temperature control area is increased by a first preset value;

[0094] A206. If the average current value of a temperature control zone is less than the lower limit threshold of the average current reference value switching threshold range, the average current reference value of the corresponding temperature control zone is adjusted down by a second preset value.

[0095] Sanitation workers may need to frequently switch between different working states, for example, switching from high-intensity physical labor (such as clearing snow) to low-intensity work (such as resting and observing). This frequent switching causes the average current value to fluctuate violently. If the piecewise function switching point (i.e., the average current reference value) is fixed, the system may frequently switch between the two segments, causing violent oscillations in the adjustment factor and the dynamic current threshold, ultimately leading to unstable output power, affecting the warmth effect and user experience. To this end, an average current reference value switching threshold range is introduced here, and the average current reference value is dynamically adjusted according to the average current value, thereby avoiding the oscillation of the adjustment factor and the dynamic current threshold. First, the average current reference value switching threshold range is determined. This range includes an upper threshold and a lower threshold, which are used to determine whether the average current value deviates too far from the average current reference value. Then, a determination is made as to whether the average current value is greater than the upper threshold of the average current reference value switching threshold range. If so, the average current reference value is adjusted higher by a first preset value so that the average current reference value can change in accordance with changes in the average current value. A determination is then made as to whether the average current value is less than the lower threshold of the average current reference value switching threshold range. If so, the average current reference value is adjusted lower by a second preset value so that the average current reference value can also change in accordance with changes in the average current value. Subsequently, based on the average current value of each heating zone and the adjusted average current reference value, a piecewise function is used to calculate the adjustment factor corresponding to each heating zone, ensuring that the adjustment of the dynamic current threshold can adapt to changes in operating intensity and avoid unstable output power.

[0096] The first preset value and the second preset value can also be adjusted according to actual application scenarios and system characteristics. As a preferred embodiment, the first preset value and the second preset value can be set to equal values to simplify the control system and facilitate parameter adjustment.

[0097] In some preferred embodiments, step A4 includes:

[0098] A401. Real-time monitoring of the exercise status of sanitation workers wearing intelligent temperature-controlled sanitation uniforms, obtaining exercise intensity data, and calculating the rate of change of exercise intensity based on the exercise intensity data;

[0099] A402. Determine whether the rate of change of exercise intensity exceeds a preset rate of change threshold of exercise intensity;

[0100] A403. If the rate of change of exercise intensity exceeds the preset rate of change threshold of exercise intensity, the temperature overshoot suppression factor is calculated based on the amount by which the rate of change of exercise intensity exceeds the rate of change threshold of exercise intensity. The temperature overshoot suppression factor increases as the amount of excess increases.

[0101] A404. Based on the current deviation between the actual current value and the dynamic current threshold, as well as the temperature overshoot suppression factor, the output voltage of the mobile power supply for the corresponding temperature control area is reduced according to the proportional control algorithm. The magnitude of the reduction is proportional to the current deviation and inversely proportional to the temperature overshoot suppression factor.

[0102] The specific process of step A401 may refer to the above step A100a.

[0103] In step A402, the preset exercise intensity change rate threshold can be set according to actual needs.

[0104] In step A403, the temperature overshoot suppression factor is a parameter used to adjust the voltage reduction range. The greater the amount by which the exercise intensity change rate exceeds the exercise intensity change rate threshold, the greater the degree of sudden change in exercise intensity, and the larger the calculated temperature overshoot suppression factor. The temperature overshoot suppression factor can be calculated using a linear, nonlinear, or piecewise function, ensuring that the temperature overshoot suppression factor increases with the amount of excess.

[0105] Among them, in step A404, the proportional control algorithm is a control technology. The reduction amplitude of the output voltage is proportional to the current deviation. The larger the current deviation, the greater the voltage reduction amplitude. The introduction of the temperature overshoot suppression factor makes the voltage reduction amplitude further affected by the rate of change of exercise intensity on the basis of the current deviation. When the temperature overshoot suppression factor increases, the voltage reduction amplitude will be reduced. For example, the voltage reduction amplitude can be calculated by the following formula: Voltage reduction amplitude = C × current deviation / (1 + temperature overshoot suppression factor), where C is a preset proportional coefficient.

[0106] Specifically, when the actual current value in the temperature-controlled area falls below the corresponding dynamic current threshold, steps A401 and A402 monitor the rate of change of the sanitation worker's exercise intensity in real time and compare it with a preset exercise intensity change rate threshold. This determines whether the sanitation worker's exercise intensity has experienced a sudden change. If the exercise intensity change rate exceeds the preset exercise intensity change rate threshold, this indicates a sudden change in the sanitation worker's exercise intensity, leading to a rapid increase in body heat production. At this point, step A403 is executed to calculate a temperature overshoot suppression factor based on the amount by which the exercise intensity change rate exceeds the threshold. This temperature overshoot suppression factor is used in step A404 to adjust the voltage reduction strategy so that the magnitude of the voltage reduction is not only proportional to the current deviation but also inversely proportional to the temperature overshoot suppression factor. Therefore, when the exercise intensity changes suddenly, increasing the temperature overshoot suppression factor can reduce the magnitude of the voltage reduction, thereby slowing the rate of voltage reduction, preventing a rapid drop in the temperature in the temperature-controlled area, and suppressing the occurrence of temperature overshoot. Conversely, when the exercise intensity changes gradually, the temperature overshoot suppression factor is smaller, having less impact on the magnitude of the voltage reduction, and voltage adjustment is primarily based on the current deviation. Through the above steps, the voltage reduction strategy can be dynamically adjusted based on the sanitation worker's exercise intensity, effectively avoiding temperature overshoot caused by sudden changes in exercise intensity while ensuring energy conservation. In practice, during outdoor work in the harsh winter, sanitation workers frequently experience changes in their work status, potentially intermittently following short bursts of intense exercise. During these periods, body heat dissipation fluctuates dramatically. Using proportional control based solely on current deviation can lead to temperature overshoot: after intense exercise, body temperature rises, heating demand decreases, and current decreases. While the proportional control algorithm reduces voltage, due to the body's thermal inertia, the temperature drop lags behind, potentially causing an excessive temperature drop in the temperature-controlled area, resulting in an "overshoot" phenomenon and discomfort. By suppressing this temperature overshoot, user comfort can be improved.

[0107] In some preferred embodiments, step A403 includes:

[0108] B1. Obtain heating area and power data for each temperature control zone;

[0109] B2. Multiply the heating area data and power data of each temperature control zone to obtain the temperature change rate factor of each temperature control zone;

[0110] B3. If the exercise intensity change rate exceeds the preset exercise intensity change rate threshold, the excess of the exercise intensity change rate over the exercise intensity change rate threshold is multiplied by the temperature change rate factor of each temperature control area to obtain the temperature overshoot suppression factor of each temperature control area.

[0111] In step B1, the heating area and power data for each temperature-controlled zone are pre-set parameters. The heating area data refers to the area of the heating element in each temperature-controlled zone on the intelligent temperature-controlled sanitation service, and the power data refers to the rated power of the heating element in each temperature-controlled zone.

[0112] In step B2, the temperature change rate factor is calculated by multiplying the heating area data and the power data. The temperature change rate factor reflects the speed of temperature change in the temperature-controlled area. The larger the area or the higher the power, the faster the temperature change rate and the higher the risk of temperature overshoot.

[0113] In step B3, when the rate of change in the sanitation worker's exercise intensity is detected to exceed a set threshold, it indicates that the sanitation worker's exercise state has undergone a drastic change, and the temperature in the temperature-controlled area is prone to overshoot. Therefore, it is necessary to calculate a temperature overshoot suppression factor to adjust the voltage reduction amplitude to suppress temperature overshoot. The temperature overshoot suppression factor is obtained by multiplying the excess of the exercise intensity change rate above the threshold by the temperature change rate factor. The greater the excess, the greater the temperature change rate factor, and the greater the temperature overshoot suppression factor, indicating that greater suppression force is required.

[0114] Specifically, step B1 is used to obtain the heating area and power data of the temperature control area to characterize the heating capacity of the temperature control area. Step B2 calculates the temperature change rate factor to reflect the speed of temperature change in the temperature control area. Step B3 combines the excess of the exercise intensity change rate and the temperature change rate factor to calculate the temperature overshoot suppression factor. When the exercise intensity changes drastically, the risk of temperature overshoot increases. The temperature overshoot suppression factor can comprehensively consider the change in exercise intensity and the characteristics of the temperature control area itself, quantify the temperature overshoot risk, provide a basis for subsequent voltage adjustment, and more effectively suppress temperature overshoot.

[0115] Furthermore, after step B2 and before step B3, the following steps may be further included:

[0116] B4. Obtain material thermal conductivity efficiency data for each temperature control area;

[0117] B5. Modify the temperature change rate factor of each temperature control area based on the material thermal conductivity efficiency data of each temperature control area.

[0118] In step B4, the thermal conductivity efficiency data for the materials in each temperature-controlled area can be fixed values pre-measured and stored in memory. These values are determined based on the type of materials used in the different temperature-controlled areas of the intelligent temperature-controlled sanitation service. For example, if a material with a higher thermal conductivity efficiency is used in the back temperature-controlled area, a higher thermal conductivity efficiency value will be recorded; if a material with a lower thermal conductivity efficiency is used in the knee temperature-controlled area, a lower thermal conductivity efficiency value will be recorded.

[0119] In step B5, the temperature change rate factor can be corrected by dividing the temperature change rate factor calculated in step B2 by the material thermal conductivity efficiency data obtained in step B4. Thus, when the material thermal conductivity efficiency is high, the corrected temperature change rate factor decreases; when the material thermal conductivity efficiency is low, the corrected temperature change rate factor increases. This correction method takes into account the impact of the material's inherent thermal conductivity characteristics on the rate of temperature change, allowing the calculated temperature change rate factor to more accurately reflect the actual temperature changes in each temperature-controlled area.

[0120] Specifically, in calculating the temperature overshoot suppression factor, step B2 first performs a preliminary calculation to obtain the temperature change rate factor for each temperature-controlled area. This factor preliminarily reflects the speed of temperature change in each area under a given heating area and power. However, different materials vary in thermal conductivity efficiency. Even under the same heating area and power, areas with materials with high thermal conductivity will experience a faster temperature rise, while areas with materials with low thermal conductivity will experience a slower temperature rise. To more accurately assess the temperature change rate, step B4 obtains the material thermal conductivity efficiency data for each temperature-controlled area. This data is then used to correct the preliminarily calculated temperature change rate factor in step B5. The corrected temperature change rate factor more accurately reflects the temperature variation characteristics of each temperature-controlled area. Subsequently, in step B3, the temperature overshoot suppression factor is calculated using the corrected temperature change rate factor and the exercise intensity change rate excess. Because the temperature change rate factor is corrected by the material thermal conductivity efficiency data, the resulting temperature overshoot suppression factor is more accurate, enabling subsequent voltage adjustments to more effectively suppress temperature overshoot, improving the accuracy and energy efficiency of the temperature control system.

[0121] In some embodiments, step A5 includes:

[0122] A501. Get the preset voltage adjustment step size and maximum boost duration;

[0123] A502. If the actual current value of the heating zone is continuously greater than or equal to the corresponding dynamic current threshold value and the duration exceeds the maximum boost duration, the power bank's output voltage to the corresponding heating zone is increased in small increments, in accordance with the preset voltage adjustment step size, until the preset maximum voltage boost is reached.

[0124] A503. If the actual current value of the heating area is continuously higher than or equal to the corresponding dynamic current threshold and the duration does not exceed the maximum boost duration, the output voltage of the mobile power supply to the corresponding heating area is maintained.

[0125] Among them, in step A501, the preset voltage adjustment step and maximum boost duration are obtained as basic parameters for voltage adjustment. The voltage adjustment step determines the amplitude of each voltage boost and can be set according to actual needs, for example, it can be set to 0.1V, and the maximum boost duration sets the time condition for starting to boost the voltage, which can be set according to actual needs, for example, it can be set to 5 minutes.

[0126] In step A502, the voltage boost operation is only executed when it is determined that the actual current value of the heated area is continuously greater than or equal to the dynamic current threshold, and the duration exceeds the maximum boost duration. The voltage boost is not completed all at once, but is gradually increased in stages according to the preset voltage adjustment step size until the preset maximum voltage boost is reached. The maximum voltage boost can be set according to actual needs, for example, the maximum voltage boost can be set to 0.5V. This phased boost method makes the voltage adjustment process smoother and more controllable, avoiding sudden voltage changes.

[0127] In step A503, if the actual current value remains above or equal to the dynamic current threshold but the duration does not exceed the maximum boost duration, the current output voltage is maintained. This clarifies the specific conditions and methods for a small voltage boost, avoids ambiguity in the voltage boost strategy, and enables more refined and stable voltage control.

[0128] Specifically, if the actual current value of a temperature control area is continuously higher than or equal to the dynamic current threshold and lasts for the set maximum boost duration, such as 5 minutes, the control system will gradually increase the output voltage of the mobile power supply to the temperature control area according to the preset voltage adjustment step, such as 0.1V. The voltage boost process is divided into stages, for example, increasing by one step at a certain interval until the preset maximum voltage boost is reached, such as 0.5V. This gradual increase method can avoid the impact of sudden voltage increases on the temperature control system and ensure the stability of the system. On the contrary, if the actual current value is higher than or equal to the dynamic current threshold, but the duration is short and does not exceed the maximum boost duration, it indicates that the heating demand may be only a temporary fluctuation. At this time, maintaining the voltage unchanged can avoid unnecessary voltage adjustments and maintain energy utilization efficiency.

[0129] refer to Figure 2 The present application further proposes a low-energy-loss device for using a mobile power source, which is used to control the mobile power source to power a smart temperature-controlled sanitation service having multiple independent temperature-controlled zones. The device comprises:

[0130] Current monitoring module 1 is used to monitor the current values of multiple temperature-controlled areas of the intelligent temperature-controlled sanitation service in real time and calculate the average current value of each temperature-controlled area (refer to step A1 above for the specific process);

[0131] Threshold calculation module 2 is used to determine a corresponding adjustment factor based on the average current value of each temperature control zone, which is used to adjust the preset basic current threshold to obtain a dynamic current threshold for each temperature control zone; the adjustment factor increases as the average current value decreases (for details, refer to step A2 above);

[0132] Current determination module 3, for each temperature control zone, determining whether the actual current value of the temperature control zone is lower than the corresponding dynamic current threshold (for details, refer to step A3 above);

[0133] The voltage adjustment module 4 is configured to reduce the output voltage of the mobile power supply to the corresponding temperature control area according to a current deviation between the actual current value and the dynamic current threshold value when the actual current value of the temperature control area is lower than the corresponding dynamic current threshold value, in accordance with a proportional control algorithm, with the magnitude of the reduction being proportional to the current deviation; and to maintain or slightly increase the output voltage of the mobile power supply to the corresponding temperature control area when the actual current value of the temperature control area is higher than or equal to the corresponding dynamic current threshold value (for the specific process, refer to steps A4 and A5 above).

[0134] In the embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some communication interface, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0135] In addition, the units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, and may be located in one place or distributed across multiple network units. Some or all of these units may be selected based on actual needs to achieve the purpose of the solution of this embodiment.

[0136] Furthermore, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0137] In this document, relational terms such as first and second, etc. are used merely to distinguish one entity or operation from another entity or operation, but do not necessarily require or imply any actual relationship or order between these entities or operations.

[0138] The above description is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, various modifications and variations of the present application are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A low-energy-loss method for using a mobile power source, for controlling the mobile power source to power an intelligent temperature-controlled sanitation service having multiple independent temperature-controlled zones, characterized in that: The steps of the method include: A1. Real-time monitoring of the current values in multiple temperature-controlled areas of the intelligent temperature-controlled sanitation service and calculation of the average current value in each temperature-controlled area; A2. Determine an adjustment factor based on the average current value of each temperature control zone to adjust the preset basic current threshold to obtain a dynamic current threshold for each temperature control zone; the adjustment factor increases as the average current value decreases; A3. For each temperature control zone, determine whether the actual current value of the temperature control zone is lower than the corresponding dynamic current threshold; A4. If the actual current value in a temperature-controlled zone is lower than the corresponding dynamic current threshold, the power bank's output voltage for the corresponding temperature-controlled zone is reduced using a proportional control algorithm based on the current deviation between the actual current value and the dynamic current threshold. The magnitude of the reduction is proportional to the current deviation. A5. If the actual current value in the temperature-controlled zone is higher than or equal to the corresponding dynamic current threshold, the power bank's output voltage for the corresponding temperature-controlled zone is maintained or increased by a pre-set amount. Step A4 includes: A401 real-time monitoring of the movement of sanitation workers wearing the smart temperature control clothing, obtain exercise intensity data, and calculate the rate of change of exercise intensity based on the exercise intensity data; A402. Determine whether the rate of change of exercise intensity exceeds a preset rate of change threshold of exercise intensity; A403. If the rate of change of exercise intensity exceeds the preset rate of change threshold of exercise intensity, the temperature overshoot suppression factor is calculated based on the amount by which the rate of change of exercise intensity exceeds the rate of change threshold of exercise intensity. The temperature overshoot suppression factor increases as the amount of excess increases. A404. Based on the current deviation between the actual current value and the dynamic current threshold, as well as the temperature overshoot suppression factor, the output voltage of the mobile power supply for the corresponding temperature control area is reduced according to the proportional control algorithm. The magnitude of the reduction is proportional to the current deviation and inversely proportional to the temperature overshoot suppression factor.

2. The low energy loss method for using a mobile power source according to claim 1, characterized in that: Step A1 includes: A101. Compare the historical current change rate of each temperature control zone with the preset change rate threshold, and compare the energy consumption of each temperature control zone with the preset energy consumption threshold; A102. Adjust the current sampling frequency of each temperature control zone based on the comparison results. Specifically, if the historical current change rate of the temperature control zone exceeds the change rate threshold or the energy consumption is lower than the energy consumption threshold, increase the current sampling frequency of the corresponding temperature control zone. If the historical current change rate of the temperature control zone is lower than the change rate threshold and the energy consumption is higher than the energy consumption threshold, decrease the current sampling frequency of the corresponding temperature control zone. Otherwise, maintain the current sampling frequency of the corresponding temperature control zone. A103. Use the adjusted current sampling frequency to collect the current value of each temperature control area in real time, and calculate the average current value of each temperature control area.

3. The low energy loss method for using a mobile power source according to claim 2, characterized in that: Before step A101, the following steps are also included: A100a real-time monitoring of the movement of sanitation workers wearing the smart temperature control clothing, obtain exercise intensity data, and calculate the rate of change of exercise intensity based on the exercise intensity data; A100b. Compare the exercise intensity change rate with the preset exercise intensity change rate threshold. If the exercise intensity change rate exceeds the exercise intensity change rate threshold, dynamically adjust the change rate threshold and the energy consumption threshold based on the amount by which the exercise intensity change rate exceeds the exercise intensity change rate threshold, so as to update the preset change rate threshold and the preset energy consumption threshold.

4. The low energy loss method for using a mobile power source according to claim 1, characterized in that: Step A2 includes: A201. Get the preset basic current threshold, average current reference value, maximum adjustment factor, and minimum adjustment factor; A202. Based on the average current value of each temperature control zone, use a piecewise function to calculate the corresponding adjustment factor for each temperature control zone. When the average current value is less than the average current reference value, the adjustment factor increases as the average current value decreases, and the upper limit of the adjustment factor is the maximum adjustment factor. When the average current value is greater than or equal to the average current reference value, the adjustment factor decreases as the average current value increases, and the lower limit of the adjustment factor is the minimum adjustment factor. A203. Multiply the adjustment factor corresponding to each temperature control zone by the preset basic current threshold to obtain the dynamic current threshold of each temperature control zone.

5. The low energy loss method for using a mobile power source according to claim 4, characterized in that: After step A201 and before step A202, the following steps are further included: A204. Determine the average current reference value switching threshold range, the average current reference value switching threshold range includes an upper threshold and a lower threshold; A205. If the average current value of a temperature control area is greater than the upper threshold of the average current reference value switching threshold range, the average current reference value of the corresponding temperature control area is increased by a first preset value; A206. If the average current value of a temperature control zone is less than the lower limit threshold of the average current reference value switching threshold range, the average current reference value of the corresponding temperature control zone is adjusted down by a second preset value.

6. The low energy loss method for using a mobile power source according to claim 1, characterized in that: Step A403 includes: B1. Obtain heating area and power data for each temperature control zone; B2. Multiply the heating area data and power data of each temperature control zone to obtain the temperature change rate factor of each temperature control zone; B3. If the exercise intensity change rate exceeds the preset exercise intensity change rate threshold, the excess of the exercise intensity change rate over the exercise intensity change rate threshold is multiplied by the temperature change rate factor of each temperature control area to obtain the temperature overshoot suppression factor of each temperature control area.

7. The low energy loss method for using a mobile power source according to claim 6, characterized in that: After step B2 and before step B3, the method further includes the following steps: B4. Obtain material thermal conductivity efficiency data for each temperature control area; B5. Modify the temperature change rate factor of each temperature control area based on the material thermal conductivity efficiency data of each temperature control area.

8. The low energy loss method for using a mobile power source according to claim 1, characterized in that: Step A5 includes: A501. Get the preset voltage adjustment step size and maximum boost duration; A502. If the actual current value of the heating area is continuously greater than or equal to the corresponding dynamic current threshold value and the duration exceeds the maximum boost duration, the power bank's output voltage to the corresponding heating area is increased in stages according to the preset voltage adjustment step size and the preset boost amount until the preset maximum voltage boost amount is reached. A503. If the actual current value of the heating area is continuously higher than or equal to the corresponding dynamic current threshold and the duration does not exceed the maximum boost duration, the output voltage of the mobile power supply to the corresponding heating area is maintained.

9. A low energy loss device for using a mobile power source, used to control the mobile power source to power an intelligent temperature-controlled sanitation service with multiple independent temperature control zones, characterized in that: The device includes: The current monitoring module is used to monitor the current values of multiple temperature control areas of the intelligent temperature control sanitation service in real time and calculate the average current value of each temperature control area; A threshold calculation module is used to determine a corresponding adjustment factor based on the average current value of each temperature control zone, so as to adjust the preset basic current threshold to obtain a dynamic current threshold for each temperature control zone; the adjustment factor increases as the average current value decreases; A current judgment module is used to judge, for each temperature control zone, whether the actual current value of the temperature control zone is lower than the corresponding dynamic current threshold; A voltage adjustment module, configured to reduce the power bank's output voltage to the corresponding temperature-controlled area according to a proportional control algorithm based on the current deviation between the actual current value and the dynamic current threshold when the actual current value in the temperature-controlled area is lower than the corresponding dynamic current threshold, with the magnitude of the reduction proportional to the current deviation; and to maintain or increase the power bank's output voltage to the corresponding temperature-controlled area by a predetermined magnitude when the actual current value in the temperature-controlled area is higher than or equal to the corresponding dynamic current threshold; When the voltage adjustment module reduces the output voltage of the mobile power supply to the corresponding temperature control area according to the current deviation between the actual current value and the dynamic current threshold according to the proportional control algorithm, it performs the following: A401 real-time monitoring of the movement of sanitation workers wearing the smart temperature control clothing, obtain exercise intensity data, and calculate the rate of change of exercise intensity based on the exercise intensity data; A402. Determine whether the rate of change of exercise intensity exceeds a preset rate of change threshold of exercise intensity; A403. If the rate of change of exercise intensity exceeds the preset rate of change threshold of exercise intensity, the temperature overshoot suppression factor is calculated based on the amount by which the rate of change of exercise intensity exceeds the rate of change threshold of exercise intensity. The temperature overshoot suppression factor increases as the amount of excess increases. A404. Based on the current deviation between the actual current value and the dynamic current threshold, as well as the temperature overshoot suppression factor, the output voltage of the mobile power supply for the corresponding temperature control area is reduced according to the proportional control algorithm. The magnitude of the reduction is proportional to the current deviation and inversely proportional to the temperature overshoot suppression factor.

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